Model Scaling Laws (Overview)

Summary

Empirical relationships showing how model performance improves predictably with more parameters, data and compute — explains why 'bigger models' became the dominant strategy for years.

• 1Read a high-level explainer of the Chinchilla scaling laws.
• 2Understand the practical implication: data and compute must scale together, not just model size.
• 3Learn why scaling laws are now being complemented by other techniques (RAG, agents, reasoning).